01 /
A new data platform
Entities and relationships move to a new schema or store.
Data / modernization
Data migration
with a verifiable result.
Move large data sets between systems: map sources, run a pilot, reconcile results, switch over, and keep a rollback plan.
Data
ETL
Reconciliation
Cutover
Migration controlrazrabotchik.com / DATA
Sources and rules01 / MAP
Batched transfer02 / MOVE
Reconcile and switch03 / VERIFY
CheckpointsReconciled data
Before starting
Data map
During transfer
Progress and errors
After transfer
Reconciliation and access
When this matters
Moving records is only one part of the job.
At scale, relationships, historic exceptions, changes during transfer, and product availability matter. The plan starts with what must be true after cutover.
An estimate needs volumes, sources, critical entities, downtime constraints, and reconciliation rules. If those are unknown, identifying them is the first step.
02 /
Systems are being merged
Identity, deduplication, and conflict rules are required.
03 /
Long downtime is not acceptable
The move must account for changes while the product remains in use.
Stages
Pilot and reconcile before cutover.
01 /
Map the data
Sources, relationships, quality, and transformation rules.
02 /
Run a pilot
A bounded slice, throughput measurements, and exception handling.
03 /
Transfer in stages
Batches, checkpoints, and error visibility.
04 /
Reconcile and cut over
Verify counts and meaning, availability, and rollback readiness.
Example approach
Moving orders while new changes continue.
First define order identifiers and invariants. Historical records move in batches while new changes are handled separately. Before cutover, reconcile critical states and decide when the new system becomes authoritative.
The synchronization method depends on the systems and allowed cutover window.
System transition
Move. Reconcile. Cut over.
Data · quality · availability
Questions
Can migration avoid downtime?
It depends on the sources, change capture, and consistency requirements. The transition design establishes what is possible.
How do we verify no data was lost?
Define checks before the move: counts, relationships, invariants, and targeted review of important records.
What about bad source records?
Exceptions are captured, classified, and resolved by agreed rules rather than silently dropped.
Next step
Describe your challenge.
Describe the system, goal, and constraints. You will receive a proposed next step, delivery format, and plan for technical oversight.